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Facilitating free travel in the Schengen area—A position paper by the European Association for Biometrics
Norwegian University of Science and Technology, Gjøvik, Norway.
University of Kent, Canterbury, United Kingdom.
European Association for Biometrics (EAB), Amsterdam, Netherlands.
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).ORCID iD: 0000-0002-1400-346X
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Number of Authors: 482023 (English)In: IET Biometrics, ISSN 2047-4938, E-ISSN 2047-4946, Vol. 12, no 2, p. 112-128Article in journal (Refereed) Published
Abstract [en]

Due to migration, terror-threats and the viral pandemic, various EU member states have re-established internal border control or even closed their borders. European Association for Biometrics (EAB), a non-profit organisation, solicited the views of its members on ways which biometric technologies and services may be used to help with re-establishing open borders within the Schengen area while at the same time mitigating any adverse effects. From the responses received, this position paper was composed to identify ideas to re-establish free travel between the member states in the Schengen area. The paper covers the contending needs for security, open borders and fundamental rights as well as legal constraints that any technological solution must consider. A range of specific technologies for direct biometric recognition alongside complementary measures are outlined. The interrelated issues of ethical and societal considerations are also highlighted. Provided a holistic approach is adopted, it may be possible to reach a more optimal trade-off with regards to open borders while maintaining a high-level of security and protection of fundamental rights. European Association for Biometrics and its members can play an important role in fostering a shared understanding of security and mobility challenges and their solutions. © 2023 The Authors. IET Biometrics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

Place, publisher, year, edition, pages
Oxford: John Wiley & Sons, 2023. Vol. 12, no 2, p. 112-128
Keywords [en]
biometric applications, biometric template protection, biometrics (access control), computer vision, data privacy, image analysis for biometrics, object tracking
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-50367DOI: 10.1049/bme2.12107ISI: 000976420600001Scopus ID: 2-s2.0-85153281620OAI: oai:DiVA.org:hh-50367DiVA, id: diva2:1751926
Part of project
Facial Analysis in the Era of Mobile Devices and Face Masks, Swedish Research CouncilAvailable from: 2023-04-20 Created: 2023-04-20 Last updated: 2023-12-06Bibliographically approved

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Alonso-Fernandez, FernandoBigun, Josef

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